《白皮书》认为，2025年，全球人工智能发展正从单点技术突破向生态协同创新加速演进，逐渐形 成"战略主导、技术竞速、规模扩张、应用拓展、生态竞合"的发展格局。 不断产出处于全球科技前沿的"北京原创"成果，是北京人工智能发展领先全国的动力源。2025年，北京 各类创新主体持续产出领先的前沿成果。高校院所方面，原创成果凸显，清华大学戴琼海院士团队、北 京邮电大学徐坤教授团队、中国科学院自动化所李国齐教授团队等陆续取得重大原创性突破。新型研发 机构加速创新，北京智源人工智能研究院发布FlagOS，实现"模芯协同"的纵向贯通；北京通用人工智能 研究院推出"通通2.0"，完成从理论创新到能力验证的重大跨越；北京科学智能研究院发布全球首个覆 盖"读文献—做计算—做实验—多学科协同"的AI科研平台玻尔科研空间站。与此同时，核心企业带动作 用显著，豆包、文心一言、GLM、Kimi等模型在权威测评中表现优异，部分成果已达国际顶尖水平。 本报讯（记者 孙奇茹）昨天，市科委、中关村管委会发布《北京人工智能产业白皮书（2025）》，数 据显示，2025年上半年北京全市人工智能核心产业规模2152.2亿元，同比增长25.3%。初步估算 ...

转自：北京日报客户端 11月29日，市科委、中关村管委会发布《北京人工智能产业白皮书（2025）》，数据显示，2025年上半 年北京全市人工智能核心产业规模2152.2亿元，同比增长25.3%。初步估算2025年全年，北京人工智能 产业规模有望超过4500亿元。 不断产出处于全球科技前沿的"北京原创"成果，是北京人工智能发展领先全国的动力源。2025年，北京 各类创新主体持续产出领先的前沿成果。高校院所方面，原创成果凸显，清华大学戴琼海院士团队、北 京邮电大学徐坤教授团队、中国科学院自动化所李国齐教授团队等陆续取得重大原创性突破。新型研发 机构加速创新，北京智源人工智能研究院发布FlagOS，实现"模芯协同"的纵向贯通；北京通用人工智能 研究院推出"通通2.0"，完成从理论创新到能力验证的重大跨越；北京科学智能院发布全球首个覆盖"读 文献-做计算-做实验-多学科协同"的 AI 科研平台玻尔科研空间站。与此同时，核心企业带动作用显著， 豆包、文心一言、GLM、Kimi等模型在权威测评中表现优异，部分成果已达国际顶尖水平。 《白皮书》认为，2025年，全球人工智能发展正从单点技术突破向生态协同创新加速演进，逐渐形 ...

Core Insights - The Beijing Artificial Intelligence Industry White Paper (2025) predicts explosive growth in various AI agents capable of serving as personal assistants, automating enterprise processes, and acting as scientific research assistants [1][3] - The development of embodied intelligence will enable a transition from information processing to physical tasks [3] Industry Overview - Beijing has registered 183 large models, maintaining its position as the national leader [2] - The AI core industry in Beijing is projected to reach a scale of 215.22 billion yuan in the first half of 2025, reflecting a year-on-year growth of 25.3% [2] - The total industry scale is expected to exceed 450 billion yuan by the end of 2025, with over 2,500 AI companies operating in the region [2] Technological Advancements - Various innovative entities in Beijing are producing leading-edge results, including the launch of FlagOS by the Beijing Zhiyuan Artificial Intelligence Research Institute and the introduction of "Tongtong 2.0" by the Beijing General Artificial Intelligence Research Institute [3] - The establishment of the world's first AI research platform covering literature review, computation, experimentation, and multidisciplinary collaboration has been achieved with the launch of the Bohr Research Space Station [3] Future Trends - The white paper outlines future trends in the AI industry, indicating that AI agents will experience significant growth and that embodied intelligence will bridge the gap between information processing and physical operations [3] - The development of world models is expected to enhance the generalization capabilities and reliability of AI systems [3] - The "AI for Science" initiative is anticipated to accelerate scientific discovery and lead to breakthroughs across various fields [3]

Group 1: AI Development in Beijing - By the end of 2024, Beijing has established 23 key laboratories in the field of artificial intelligence, focusing on cutting-edge algorithms, embodied intelligence, and AI safety governance [1] - The core industry scale of artificial intelligence in Beijing reached 345.87 billion yuan in 2024, marking a year-on-year growth of 28.8%, the highest growth rate in nearly three years [1] - The number of AI-related enterprises in Beijing surpassed 2,400, accounting for about half of the national total, with 36 unicorn companies representing more than half of the national total [1] Group 2: AI for Science (AI4S) Initiatives - The Science Navigator platform, developed by Beijing Intelligent Science Research Institute and Deep Insight Technology, aims to enhance academic exploration for researchers [2] - The platform significantly reduces the average literature search time by over 90% and achieves an accuracy rate of over 95% for complex questions in specialized fields [3] Group 3: Intelligent Laboratory Systems - The Uni-Lab-OS intelligent laboratory operating system integrates mechanical arms and automated guided vehicles (AGVs) for high-precision collaborative operations, transforming traditional laboratories into intelligent systems [4] - This system addresses inefficiencies in manual operations and data isolation in traditional labs, facilitating a transition to automated and intelligent research environments [4] Group 4: Embodied Intelligence Research - Five key laboratories focusing on embodied intelligence have been established in Beijing, supported by institutions like the Chinese Academy of Sciences and Tsinghua University [5] - These laboratories are dedicated to foundational theories, core technologies, and system applications in the field of embodied intelligence, with significant achievements in areas such as robot control and multi-modal perception [5] Group 5: General AI Developments - The upgraded version of the general intelligent entity "Tong Tong" 2.0 was unveiled, showcasing advancements in language, cognition, action, learning, emotion, and interaction capabilities [6] - This entity aims to support various vertical application scenarios and integrate with embodied intelligent robots, potentially revolutionizing sectors like smart manufacturing and elder care [6]